SPECIAL ISSUE: Progress in Statistical and Nonlinear Physics: Proceedings of the First Cross Taiwan-Strait Conference on Statistical Physics; Editors: Chin-Kun Hu, Zhong-Can Ou-Yang, Bambi Hu and Bing-Hong WangNo Access

FUNCTIONAL MODULARITY IN THE FUNDAMENTALS OF ECONOMIC THEORY: TOWARD AN AGENT-BASED ECONOMIC MODELING OF THE EVOLUTION OF TECHNOLOGY

SHU-HENG CHEN

AI-ECON Research Center, Department of Economics, National Chengchi University, Taipei, 116, Taiwan, ROC

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and

BIN-TZONG CHIE

AI-ECON Research Center, Department of Economics, National Chengchi University, Taipei, 116, Taiwan, ROC

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https://doi.org/10.1142/S0217979204025403Cited by:11 (Source: Crossref)

Abstract

No matter how commonly the term innovation has been used in economics, a concrete analytical or computational model of innovation is not yet available. This paper argues that a breakthrough can be made with genetic programming, and proposes a functional-modularity approach to an agent-based computational economic model of innovation.

An early version of the paper was presented at the 9th International Conference on Computing in Economics and Finance and the First Cross-Strait Conference on Statistical Physics. It was also presented as a part of a sequence of intensive lectures given at the University of Science and Technology of China (USTC). The authors are grateful to Prof. Bing-Hong Wang for hosting the authors' visit at USTC. The authors would also like to thank the two anonymous referees for their helpful suggestions. NSC research grant No. 92-2415-H-004-005 is gratefully acknowledged.

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